Classification-expanded indexing and retrieval of classified documents

ABSTRACT

Problem: Document classification systems are valuable tools for searching and retrieving classified documents but can be prohibitively complex and cumbersome for users. Problem: A system for the indexing and retrieval of classified documents inserts keywords, titles or definitions of previously applied classifications into the document record and provides the resulting record to a search engine. Searchers are able to retrieve documents by searching on keywords from the classification system without looking up class coding.

TECHNICAL FIELD

This invention relates to the indexing and retrieval of documents towhich classification codes and schemes have been applied and, inparticular, relates to the indexing and retrieval of patent documents.

BACKGROUND

It is standard practice for intellectual property authorities toclassify applications and documents by one or more classification and/orindexing schemes. For example, the United States Patent and TrademarkOffice (USPTO) applies the U.S. Patent Classification (USPC) system andthe International Patent Classification (IPC) system to patentapplications filed in its offices. Likewise, the European Patent Officeapplies the European Classification system (ECLA) and IPC toapplications filed in its offices and the Japan Patent Office UPO)applies the File Index system (FI) and F-Terms systems to applicationsfiled at its office.

More broadly, information vendors and database providers frequentlydevelop and apply various coding schemes to documents that they indexand provide on their services. For example, BIOBASE, a database producedby Reed Elsevier uses a proprietary classification codingsystem.ESBIOBASE [ONLINE]. [retrieved on 2004-03-17]. Retrieved from:<http://www.cas.org/ONLINE/DBSS/esbiobasess.html>.

These classification and indexing systems are indispensable for therapid retrieval and handling of information. They are essential tools inthe efficient and effective examination of patent applications. Theirapplication incorporates a high degree of intellectual input.

Unfortunately, most classification and indexing systems are verysophisticated and complex. Effective use requires a high level oftraining. For example, European Patent Office examiners receive twoyears of training on ECLA before they are allowed to conductunsupervised prior art searches using the ECLA system. The U.S. PatentClassifications and the Japanese F-Term systems are similarlysophisticated.

Moreover, even within the field of patent information, skilled searchingof the Trilateral Patent Offices requires that the search learn andsearch each of the national or regional classification systemsseparately. In other words, the searcher needs to learn ECLA to searchEPO documents, the U.S. classifications to search U.S. patent documents,and the FI and F-term systems in order to search JPO documents. Even thetools and resources needed to do this are lacking. For example, there isno known English index of the JPO F-term system. In a recent symposium(FUJI, Yoshihiro “Providing Japanese patent information to non-Japaneseusers” Far East Meets West in Vienna: EPIDOS Users' Meeting on JapanesePatent Information, 2003-10-23, Vienna, Austria (Post-presentationdiscussion)), a JPO patent examiner recommended the following procedurefor determining the appropriate FI class for searching a particularconcept: First, on the EPO website(http://v3.espacenet.com/eclasrch?CY=ep&LG=en) to determine anappropriate ECLA class. Second, assume rough equivalence between ECLAand FI and search the corresponding FI class on the JPO website(http://www4.ipdl.jpo.go.jp/Tokujitu/tjftermenb.ipdl). This is verycumbersome and subject to error.

As a result the advantages of classification and indexing systems arebeyond the grasp of more casual users and information professionals.

On the other hand, the rapid recent growth of fulltext-base patentretrieval services on the Internet has led lay persons and informationprofessionals alike to rely increasingly on keyword searching. Whilekeyword searching has its advantages and is easy to use, variations interminology can easily lead to missed documents. Moreover, theintellectual product embodied in the classifications applied to thedocuments is totally lost.

In related art, D & B Duns Market Identfiers database on DIALOG(http://library.dialog.com/bluesheets/html/bI0516.html) provides forsearching SIC descriptors as a search field. TRADEMARKSCAN provides forsearching international class descriptors as a search field(http://library.dialog.com/bluesheets/html/bI0669.html).

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1

Conceptual depiction of document server—search engine—client environment

FIG. 2

Typical hardware and software configuration for document server websiteaccording to this invention

FIG. 3

Public search engines in the United Kingdom

FIG. 4

Conventional classified document

FIG. 5

Classified document according to this invention

FIG. 6

Classified document according to this invention with insertedclassification information in a second language

FIG. 7

Table of classification information according to this invention

FIG. 8

Table of classification information according to the PreferredEmbodiment

FIG. 9

Process for producing document store according to Embodiment 4

FIG. 10

Process for inserting classification information into document

FIG. 11

Process for producing document store according to Embodiment 5

FIG. 12

Process for producing document store according to the PreferredEmbodiment

DISCLOSURE OF INVENTION

Problem Invention Seeks To Solve

This invention seeks to make the advantages of classification searchingavailable to information users without compelling them to learn thedetails, and particularly, the coding schemes and formats, of thevarious classification systems.

BRIEF SUMMARY OF THE INVENTION

This invention provides for retrieval and indexing by search engines ofclassified documents in which a portion of the classification coding hasbeen supplemented with inserted terms, keywords, titles or definitionsderived from the classification system's schedule and definitions.

One aspect of this invention is a system for the indexing and retrievalof classified documents, the system comprising, at least one servercomputer which is connected to a document store, said document storecontaining at least one static document derived from a documentcollection to which at least one classification system code has beenpreviously applied, said document containing at least one keywordderived from the title or definition of said code, and a connectionbetween the server computer and at least one search engine system.Further, the static document can be in HTML or XML format. Further, theterms derived from the classification system can be in a language otherthan the language of the document in the document store. Further, thedocument in the document store can be a patent document. Futher, therecan be a connection between the server computer and a client computer.

Another aspect of this invention is a system for the indexing andretrieval of classified documents, the system comprising, at least oneserver computer which is connected to a document store, said documentstore containing at least one static document derived from a documentcollection to which at least one classification system code has beenpreviously applied, said static document containing at least oneretrieval key corresponding to the title and/or definition of said code;a database system comprising at least one term derived from the titleand/or definition of said classification system code; a connectionbetween the server computer and at least one search engine system; and ameans for dynamically inserting said term into the static document inresponse to a request from the search engine system and communicatingthe resulting document to the search engine system. Further, the staticdocument can be in HTML, XML, PDF or MSWord format. Further, the termsderived from the classification system can be in a language other thanthe language of the document in the document store. Further, thedocument in the document store can be a patent document. Futher, therecan be a connection between the server computer and a client computer.

Another aspect of this invention is a computerized method for theindexing and retrieval of classified documents comprising the methodsteps of, in response to a request from a search engine system,retrieving a document from a document store, said document storecontaining at least one static document derived from a documentcollection to which at least one classification system code has beenpreviously applied, said document containing at least one term derivedfrom the title or definition of said code; and transmitting saiddocument to the search engine system. Further, the static document canbe in HTML, XML, PDF or MSWord format. Further, the terms derived fromthe classification system can be in a language other than the languageof the document in the document store. Further, the document in thedocument store can be a patent document. Futher, there can be aconnection between the server computer and a client computer.

Another aspect of this invention is a computerized method for theindexing and retrieval of classified documents comprising the methodsteps of, in response to a request from a search engine system,retrieving a document from a document store, said document storecontaining at least one static document derived from a documentcollection to which at least one classification system code has beenpreviously applied, said document containing at least one retrieval codecorresponding to the title and/or definition of said code; retrievingfrom a database at least one term derived from the title and/ordefinition of said classification system code; dynamically insertingsaid term into the static document; and transmitting the resultingdocument to the search engine system. Further, the static document canbe in HTML or XML format. Further, the terms derived from theclassification system can be in a language other than the language ofthe document in the document store. Further, the document in thedocument store can be a patent document. Futher, there can be aconnection between the server computer and a client computer.

Another aspect of this invention is a computerized method for theretrieval of classified documents comprising the method steps of,causing a client software application in a client computer to initiate aconnection to a server computer; and causing the client softwareapplication in a client computer to make at least one request to theserver computer, said request causing the server computer to carry out amethod comprising the following method steps: retrieving a document froma document store, said document store containing at least one staticdocument derived from a document collection to which at least oneclassification system code has been previously applied, said documentcontaining at least one retrieval code corresponding to the title and/ordefinition of said code; retrieving from a database at least one termderived from the title and/or definition of said classification systemcode; dynamically inserting said term into the static document; andtransmitting the resulting document to a client computer. Further, thestatic document can be in HTML, XML, PDF or MSWord format. Further, theterms derived from the classification system can be in a language otherthan the language of the document in the document store. Further, thedocument in the document store can be a patent document. Futher, therecan be a connection between the server computer and a client computer.

DEFINITIONS

Search Engine

A server or a collection of servers dedicated to indexing internet webpages, storing the results and returning lists of pages which matchparticular queries. The indexes are normally generated using spiders butmay also be based on OEM content provided from a search engine that hasa spider that actively crawls the web. Some of the major search enginesare Altavista, Excite, Hotbot, Infoseek, Lycos, Northern Light andWebcrawler.

‘Web Spider’ or ‘Web Robot’

Program that searches the World Wide Web in order to identify new (orchanged) pages for the purpose of adding those pages to a searchservice's (“search engine's”) database.

Web Grabber

Program that automatically downloads web site content for the purpose ofsubsequent offline viewing or processing.

Web Site

A user-accessible server site that implements the basic World Wide Webstandards for the coding and transmission of hypertextual documents.These standards currently include, without limitation, HTML (theHypertext Markup Language) and HTTP (the Hypertext Transfer Protocol).In addition, reference is made to Java script (also referred to asjavascript), though other types of script, programming languages, andcode can be used as well. It should be understood that the term “site”is not intended to imply a single geographic location, as a Web or othernetwork site can, for example, comprise multiple geographicallydistributed computer systems that are appropriately linked together.Furthermore, while the following description relates to an embodimentutilizing the Internet and related protocols, other networks, such asnetworked interactive televisions, and other protocols may be used aswell.

Document Server—Search Engine—Client Environment

FIG. 1 depicts the generalized operating environment of the currentinvention. This environment comprises document server web site 100,search engine 200 and client 300. These are interconnected via networkconnections 401, 402 and 403. This operating environment can residewithin a single organization's intranet or can extend across the globalInternet with web site 100, search engine 200 and client 300 physicallylocated on separate continents.

Document Server Web Site

FIG. 2 depicts a typical hardware and software configuration fordocument server website 100 according to this invention. Web server 110provides the physical housing for a web server application. Databaseserver 120 provides the physical housing for a database containingclassification system data. Network attached storage (NAS) servers 131,132 and 133 provide a data store for documents to be served over thenetwork by web server 110. Router 140 provides the connection to theInternet. Persons knowledgeable in the field will recognize that therecan be many variations on this configuration without departing from thisinvention. For example, there can be a plurality of web servers 110 toprovide load balancing or to server a plurality of document collections.Also, there can be a plurality of database servers 120 to provide loadbalancing, failover and a plurality of classification systems. Thenumber of NAS servers can vary widely to provide a scalable data store.Finally, all of the functions provided by the hardware depicted in FIG.2 can be combined on a single server. At the other extreme, documentserver web site 100 can be a logical one with its physical componentsdestributed distantly and connected via the Internet or othercommunications network. The content of the document server web siteaccording to this invention is described in more detail below.

Search Engine

Public Search Engines

Public search engines that can be used with this invention include,without limitation, the following: Google, Yahoo, Ask jeeves,AllTheWeb.com, AOL Search,HotBot, Teoma, AltaVista, Gigablast,LookSmart, Lycos, MSN Search, Excite, Inktomi, WebWombat, WebCrawler,Overture, and WiseNut. A contemporary diagram of major search engines inthe United Kingdom and their relationships is shown in FIG. 3 (fromhttp://www.alphaquad.co.uk/internet_marketing_notes/uk-search_engine_relationships.jpg).

Private Search Engines

This invention can be implemented with a private search engine that iscontrolled in association with the document server. A commonimplementation is a server computer on which a search engine softwareapplication has been installed.

Examples of server computers that can be used in this role include,without limitation, the following: Windows-installed computers such asDell brand PowerEdge servers, HP Proliant servers, Sun Fire V20z and IBMe325 servers; LINUX-installed computers such as Dell brand PowerEdgeservers; MacOS-installed servers such as Apple Xserve; andUNIX-installed servers such as Sun Netra servers.

Examples of search engine software applications that can be used in thisrole include, without limitation, the following:

ES.NET 2004 by Innerprise runs on Windows 2000/XP/2003 servers and is afull-text indexing Web crawler and search engine. With ES.NET, documentsare crawled and indexed from an Intranet, Web Site, or the Web. Crawlingand updating can be automated using the built-in scheduler. ES.NET 2004consists of a Windows Service (actual spider), a Web Application(interface to the service), and a Search Application (for integrationinto an existing Web site). ES.NET 2004 supports common file typesthrough the use of IFilters, including, without limitation, HTML, XML,Microsoft Word (.DOC), Microsoft Excel (.XLS), Adobe Acrobat (.PDF), MP3ID3v1 & ID3v2 (.MP3), and Rich Text Format (.RTF).

Active Search Engine by Myrasoft is a server application that allowsdevelopers to create a Yahoo style search engine. It features aninteractive user interface and administration tools for link managementand approval, category creation, keyword based search, automaticconfirmation of new links, user email list management, among otherfeatures.

Search Engine Studio by Xtreeme automatically indexes a target Web siteusing four methods, and then creates a search engine for the Web site oran offline search for CD-ROM and DVD distribution.

Other site search engine software applications include, withoutlimitation, Namo DeepSearch by SJ Namo Interactive, Inc., AtriseEveryfind by Atrise Software, ActiveSearch SiteSearch SDK, Albert web,Alkaline (Vestris), Amberfish, ARTS PDF Search, ASPSeek, ASTAWareSearchKey, Atomica, Atomz Search, Autonomy Search Server, BeSeen fromLooksmart (aka whatUSeek intraSearch), BooleanSearch, BBDBot,BRS/Search, CGISRCH, Compass (now iPlanet Search), ConveraRetrievalWare, Copernic, crawl-it, Cybotics, DarWin Set, Datagold,Datapark Search, DeepSearch, Dieselpoint Search, DioWeb, DMP Scout,DocFather, Doclinx TeraXML, DolphinSearch, dtSearch Web, EasyAsk,ebhath, Educesoft ASP Search Engine, 80-20 Discovery, Elise MatchingEngine, Endeca Commerce, Catalog and Enterprise Search, EngeniumSemetric, Enterprise Search (Innerprise), Eureka, eVe Image Search,Everyfind, Excalibur RetrievalWare, Extense, Extropia Site Search,F3DSearch, FAST Search Server, Findex (now Onix), Fluid Dynamics Search,FreeFind, Fulcrum Search Server (now Hummingbird), FusionBot, Glimpse,Harvest, HomepageSearchEngine, ht://Dig, Hummingbird Search Server, i411Faceted Metadata Search, IBM Intelligent Miner for Text, ICE, ic-find,IDKSM, IMP Database Search Engine, Index Search (Xavatoria), IndexServer (Microsoft), IndexMySite, Inktomi Search Software, InMagic,InQuira for Search, Intelligent Miner for Text, Intelliseek EnterpriseSearch, InteractiveTools Search Engine, interMedia, Intermediate Search(Fluid Dynamics), IntuiFind (Mercado), Inxight SmartDiscovery, i-phrase,iPlanet Search (formerly Netscape Compass), I-Search, Isearch, Isys:web,IXE:Ideare indexing Engine, Jobjects QuestAgent, Juggernautsearch, JXTASearch, KSearch, K2 (Verity), LexiQuest LexiGuide, linkSearch, LotusExtended Search (Domino), Lucene, Lycos InSite Pro Service, Master.com(Webinator Remote), Matt's SimpleSearch, Mercado IntuiFind, MetaStar,Microsearch WebSearch, Microsoft Index Server, Microsoft SharePoint,Microsoft Site Server, MiniSearch, mnoGoSearch (formerly UdmSearch),MondoSearch, MPS Information Server, Muscat, Namazu, Nathra, Nav4,NetMind Search-It, Netrics Search (previously Likelt), Netscape Compass(now iPlanet Search), Net.Sprint, NextPage (LivePublish), Northern Light(search service & EIP), Noviforum (was Trident), NQL, Nutch, Onix,OmSearch, OpenBridge (formerly ZNOW), OpenFTS, OpenText—LiveLink, OracleText, Ultra Search and interMedia, Orangevalley Intranet Search Engine,orenge (empolis, Panoptic Search, PDF WebSearch, Perl Scripts, PerifectSearch, Phantom, PicoSearch, PLWeb (PLS/AOL), QuestAgent, QueryServerMetasearch Engine, Recommind MindServer IR, re.se@rch suite,RetrievalWare, RiSearch, RuterSearch, SearchKey Plus (ASTAWare), SelenaSol's Keyword Search (now Extropia), SharePoint (Microsoft Tahoe),Sharewire SiteSearch, Sideran Seamark Faceted Metadata Search (formerlybpAllen Teapot), SimpleSearch, SiteFerret Lite and Pro, siteLevel(formerly intraSearch), SiteMiner, SiteSearch (now DocFather),SiteSearch Indexer (JavaScript), Site Server (Microsoft), SiteSurfer,S.L.I. Search, SmartDiscovery (Inxight), Spiderline, Spy-Server, SubjectSearch Server (SSServer), SurfMap Search, SWISH-E, SWISH++, Tahoe(Microsoft SharePoint), TEC-IMS, t.find (Eidetica), ThunderstoneWebinator, Trident (now Noviforum), TYPENGO N300 Search, UdmSearch (nowmnoGoSearch), Ultra Search (Oracle), Ultraseek (Verity, previously byinfoseek, then Inktomi), Universal Knowledge Processor, Verity—Search97& K2, Virage Audio & Video Search, Visual Net, WAIS and freeWAIS,WebCat, WebGlimpse, Webinator (Thunderstone), WebMerger, Webrom,WebSearch Perl Script, WebServer 4D, WebSonar, WebSTAR Search (4D),WideSource, Windex Search, WizDoc, Xapian (formerly Open Muscat,OmSearch), XML Query Engine, YourAmigo, Zebra, NOW (now OpenBridge), andZoom.

Google markets the Google Search Appliance, a self-contained searchengine. When applied to this invention, this appliance can be logicallyplaced within the same domain or organization that houses the documents.Alternatively, it can be located anywhere as long has it has networkaccess to the document server and clients have network access to it.

Client

Web Browser Client

Browser applications that can be used in this invention include, withoutlimitation, the following: Browser One (published by Digital Internet),Opera (Opera Software), Ultra Browser (UltraBrowser.com), Xeonn-Turbo(Xeonn.net), Avant Browser (Anderson Che), Smart Bro (Bassam Jarad),NJStar Asian Explorer (NJStar Software), GameNet Browser (Smartalec),Maxthon (MyIE2 Team), Omnibrowser (Omnibrowser.com), SiteKiosk(PROVISIO), Wichio Browser (Revopoint), NetCaptor (Stilesoft), MozillaFirefox (Mozilla), Deepnet Explorer (Deepnet Technologies), Mozilla(Mozilla), Slim Browser (FlashPeak), SmartFox (StartplaneCommunications), SportsBrowser (4comtech), KidSplorer (DevicodeTechnology), Optimal Desktop (Optimal Access), Ace Explorer (TronixSoftware), Arlington Kiosk Browser (Arlington Technology), AdvancedBrowser (Tronix Software), iRider (Wymea Bay), Image Browser(Image-browser.com), WindowSurfer (WindowSurfer Software), 550 AccessBrowser (550 Access), FineBrowser (SoftInform), Kopassa Browser(Kopassa), 4C Vision (euris), Internet Explorer (Microsoft), ArlingtonCustom Browser (Arlington Technology), Net Viewer (Accessory Software),Play the Web (Philippe Vaugouin), Wysigot (Wysigot), ServiceHolder(LastReset), CafeTimePro (Protocall Computer), Freeware Browser(4comtech), Web Services Accelerator (Virtual Innovations), iNetAdviser(Softinform), Netscape (Netscape Communications), Surfnet (Info TouchTechnologies), Eminem Browser (Interscope Records), PhaseOut (PhaseOutteam), Proximat Voyager (InnovSoft Consulting), WebView (ABC EnterpriseSystems), Internet Research Software (WebSoft), Muse-Lite (MuseCommunications), Fast Browser (FastBrowser), ActivatorDesk (R. LeeHeath), Web Padlock (Leithauser Research), LE-Multibrowser (LE-SoftwareSweden), BrowseMan (Specialized Search), InnerX (InnerX), AggressiveInternet Research (Frank Harrison), Cygsoft LDAP Browser (Cygsoft), andWebSpeedReader (PerMaximumSoftware).

Web Grabber Client

Also known as “offline browsers”, web grabber applications that can beused in this invention include, without limitation, the following:Aaron's Web Grabber by Surfware(http://www.surfwarelabs.com/Awebvacuumg.htm), kabestin software's WebGrabber (http://www.kabestin.com/webgrabber.html), PicaLoader(http://www.vowsoft.com/), HTTTrack Website Copier (published byHTTrack), Web Shutter (published by MAB Software), Offline Explorer(MetaProducts), Offline Explorer Pro (MetaProducts), Offline ExplorerEnterprise (MetaProducts), Power Siphon (Applied Kinematics), Leech(Aeria), WebZIP (Spidersoft), Web Dumper (Maxprog), WebCopier(MaximumSoft), MM3 WebAssistant (MM3Tools Muenzenberger), GetBot(GetBot), WebCloner (ProductsFoundry), SurfOffline (Bimesoft),QuadSucker/Web (SB Software), RafaBot (Spadix Software), Grab-a-Site(Blue Squirrel), Offline CHM (Direct-Soft), WebCatcher (Wizissoft),ActiveSite Compiler (INTOREL), NetGrabber (FuzzSoft), Net-Ripper(SoftByte Labs), BlackWidow (SoftByte Labs), Website Extractor(InternetSoft Corporation), SuperBot (EliteSys), PageSucker (FredericVeynachter Software), eNotebook (GoldKingko), Baldgorilla Go-Getter(Baldgorilla Software), BackStreet Browser (Spadix Software), OfflineNavigator (Asona), WebWhacker (Blue Squirrel), WebGainer (LuoSoft corn),Rip Clip (Kevlex Technologies), JOC Web Spider (JOC Software), WebCapture (E-SOFTWARE), WebSlinky (webslinky.com), HTTP Weazel (ImateSoftware), SBWcc Website Capture (SB Software) and Teleport Pro(Tennyson Maxwell Information Systems).

Website Extractor Client

Website extractors are client applications that mine and extract datafrom the web. Web extractor applications that can be used in thisinvention include, without limitation, Advanced Information Extractor(AIE) by Poorva, Inc., Internet Macros by iOpus, Web Grabber by FicstarSoftware, Web-Site-Downloader, WebEx Service by KnowleSys, Visual WebTask by Lencom Software, Web Data Extractor by WebExtractor System, andTextPipe by Crystal Software.

Web Content Repackager

Web content repackagers are intermediate applications that receivesrequests from downstream client computers, retrieves web content from aserver computer in response to client computer requests, modifies,transforms or translates the retrieved content; and transmits theresulting content to the clients. Website repackagers include, withoutlimitation, automatic web page translators such as Google Translate andAltaVista Translate.

DETAILED DESCRIPTION OF DOCUMENT SERVER WEB SITE

Document server web site 100 provides classified documents to searchengine 200 and to client 300. According to this invention, theclassified documents served comprise conventional classified documentcontent with the addition or subsitution of existing classificationcodes by titles or definitions of the codes. FIG. 4 shows a typicalclassified document according to conventional practice. This document isa patent application that has been classified and been published withcodes that indicate its classification. FIGS. 5 and 6 show two documentsaccording to this invention. In FIG. 5, titles of the class codes havebeen added to the document. In FIG. 6, translations of titles of theclass codes have been added to the document. When the classificationsystem is hierarchical, it is preferable to add the subclass titletogether with the titles of its ancestors as has been done in FIGS. 5and 6.

According to this invention, document server web site 100 can store acollection of static classified documents 110 to which code titles ordefinitions 111 have been added. These static documents can be preparedand stored as files in any one of several suitable file formatsincluding, but not limited to, HTML, XML, PDF and MSWord. These can bestored on magnetic disc in the Web server itself or on a separate serveror NAS device.

According to this invention, document server web site 100 preferablyproduces documents 110 dynamically in response to a request from asearch engine spider or other web client.

Collections of Classified Documents

This invention processes classified starting documents for indexing bysearch engines. Preferably, these starting documents are part ofcollections of classified starting documents. Examples of startingdocument collections that can be used for this invention include,without limitation, the following patent and trademark patentcollections:

Weekly Patent Bibliographic Raw Data supplied by the U.S. Patent andTrademark Office (http://www.uspto.gov/web/menu/patdata.html) includingGrant Red Book V2.5 (xml) bibliographic data, Application Red Book V1.5(XML) bibliographic data, and Patent Full-Text/APS (Green Book)bibliographic data. EPO bibliographic data and abstracts supplied by theEuropean Patent Office (http://ebd.epoline.org/ebd/) include EBD ST.32format data and Abstracts in ST.32 format. Publications by the JapanPatent Office include Kokai and Registered Patents on DVD and CD-ROM,Patent and Registered Utility Models on DVD and CD-ROM, EnglishAbstracts of Kokai on CD-ROM, Design Patents on CD-ROM, Trademarks onCD-ROM, and International Trademarks on CD-ROM. Publications by theGerman Patent Office including Markenblatt (Trade Mark Journal) andPatentblatt (Patent Gazette). Publications of other patent offices,including without limitation, Boletines de Patentes and Boletines deMarcas published by the Argentina Patent Office; Supplement to theAustralian Official Journal of Patents in PDF format, Australian PatentAbstracts, OPI Patent Specifications, and Austrailian Patents publishedby the Australian Patent Office; Patent and Utility Model Gazette ASCIIData by the Austrian Patent Office; Recueil des brevets d'invention bythe Belgian Patent Office; Patent Documents on CD-R published by theCanadian Intellectual Property Office; Chinese Patent SpecificationCD-ROM, CD-ROM of Chinese Patent Abstracts, Patent Gazette CD-ROM,CD-ROM for Design, and China Patent Database published by the StateIntellectual Property Office of the People's Republic of China, Ekaswa-Aand Ekaswa-B CD-ROMs published by the Patent Facilitating Centre, India;Patent Abstracts of Russia; RUPAT and RUABEN published by the RussianAgency for Patent and Trademarks; BREF CD-rom published by INPI; and thePCT Electronic Gazette and the PCT Database on CD-ROM published by theWorld Industrial Property Office.

Classification Systems

This invention solves this problem by making definitions or schedules ofclassifications that have been applied to a particular documentaccessible to a fulltext search engine in a manner that fulltextsearches for terms and phrases occurring in the classificationdefinitions and/or titles can retrieve the document.

There are many classification systems and information coding systemsthat can serve in embodiments of this invention. Several are describedbelow but this invention is not limited to these examples.

The U.S. Patent Classification System(http://www.uspto.gov/go/classification/) is used by the United StatesPatent Office to classify patent applications, pregrant patentpublications and granted patents. One or more classifications areassigned to each document and published in the gazette.

The World Intellectual Property Organization (WIPO) administers fourclassification systems (http://www.wipo.int/classifications/en/): theInternational Patent Classification (IPC) system for patents, the NiceClassification of goods and services for the purposes of theregistration of marks, the Locarno Classification for industrialdesigns, and the Vienna Classification of the figurative elements ofmarks.

The European Patent Office maintains the European Patent Classification(ECLA) system for European patent applications and documents.(Searchable at http://I2.espacenet.com/eclasrch.)

The Japanese Patent Office (http://www.jpo.go.jp) maintains the FileIndex (FI) classification system (an analogue to ECLA) and theFile-Forming Term (F-Term) search coding system and applies these,together with the IPC classifications to patent applications and grantedpatents.

Thomson Derwent maintains the Derwent Classification, the Chemic₄Patents Index (CPI) Manual Codes, and the Electrical Patents IndexManual Codes (EPI manual codes) system for electrical and electronicengineering patents(http://thomsonderwent.com/support/dwpiref/reftools/classificatio

The North American Industry Classification System (NAICS) is jointlymaintained by the governments of the United States, Canada and Mexico(http://www.census.gov/epcd/www/naics.html) as is the North AmericanProduct Classification System(http://www.census.gov/eos/www/napcs/napcs.htm). The NAICS was developedas a replacement for the U.S. Standard Classification System (SIC) whichis nonetheless still in use and can be used in this invention.

The United Nations Statistics Division(http://unstats.un.org/unsd/cr/registry/) maintains a registry ofStatistical Classifications that can be used in this invention. Theseinclude economic activity classifications such as the InternationalStandard Industrial Classification of All Economic Activity (ISIC), theCentral Product Classification (CPC), the Standard International TradeClassification (SITC), the Classification by Broad Economic Categories(BEC), Classifications of the Functions of Government (COFOG), theClassification of Individual Consumption According to Purpose (COICOP),Classification of the Purposes of Non-Profit Institutions ServingHouseholds (COPNI), Classification of the Outlays of Producers Accordingto Purpose, (COPP) and the Trial International Classification ofActivities for Time-Use Statistics (ICATUS).

EUROSTAT is custodian of the Statistical Classification of EconomicActivities in the European Community (NACE)(http://europa.eu.int/comm/eurostat/ramon), the StatisticalClassification of Products by Activity in the European EconomicCommunity (CPA) and the Classification of Environmental ProtectionActivities and Expenditure (CEPA).

AFRISTAT (http://www.afristat.org) is the custodian of the ActivityClassification of AFRISTAT Member States (NAEMA), the ProductClassification of AFRISTAT Member States (NOPEMA).

The Australian Bureau of Statistics (http://www.abs.gov.au/AUSSTATS) iscustodian of the Australian and New Zealand Standard Classification(ANZSIC).

The World Customs Organization (http://www.wcoomd.org/ie/index.html) iscustodian of the Harmonized Commodity Description and Coding System(HS).

The International Labor Organization is custodian of the InternationalStandard Classification of Occupations (ISCO), the InternationalClassification of Status in Employment (ICSE), International StandardIndustrial Classification of all Economic Activities (ISIC),International Standard Classification of Education (a UNESCOclassification) (ISCED) and classifications of occupational injuries.

The World Health Organization (www.who.int) is custodian of theInternational Statistical Classification of Diseases and Related HealthProblems (ICD-10); the International Classification of Impairments,Disabilities, and Handicaps (ICIDH); and the InternationalClassification of Functioning, Disability and Health (ICF).

The Library of Congress maintains the Library of Congress Classification(http://www.loc.gov/catdir/cpso/lcco/lcco.html). The Dewey DecimalClassification (DDC) system is owned by OCLC(http://www.ocic.org/dewey/about/).

Several technical associations and publishers of scholarly and technicaljournals and periodicals maintain classification systems that can beused in this invention. The American Economic Association maintains theJournal of Economic Literature classification system. The Institute ofAcoustics maintains the BEPAC Acoustics Library Classification system(http://www.ioa.org).

The Government Printing Office maintains the Superintendent of Documentsclassification system(http://www.access.gpo.gov/su_docs/fdlp/pubs/classman/index.htl

Classification systems maintained by online database providers can

be used in this invention. Examples include, without limitation,ABI/INFORM(http://support.dialog.com/searchaids/dialog/f15_f635_ccodes.shtrBIOSIS® Previews Biosystematic Codes and the Organism Classifier T

Conversions (http://support.dialog.com/searchaids/dialog/f5_codesCABICODES in CAP Abstracts(http://support.dialog.com/searchaids/dialog/f50_cabicodes_list.sh CASRegistry Numbers, CAL classification codes(http://support.dialog.com/searchaids/dialog/f8_ccodes.shtml), Me

descriptors and tree structures(http://www.nlm.nih.gov/mesh/introduction2004.html), the ACM ComputingClassification system (http://www.acm.org/class/1998/) the Inspec(r)Classification system(http://www.iee.org/publish/support/inspec/document/electronic.c

Classification System Database

In order to automatically produce a collection of static documents or todynamically produce merged documents as part of the Document Server WebApplication, the classification information to be used for theseoperations is stored in a database. There are several commerciallyavailable software packages that can be used, including but not limitedto Watcom SQL, Oracle, Sybase, Access, Microsoft SQL Server, IBM's DB2,AT&T's Daytona, NCR's TeraData and DataCache.

At its simplest, this database comprises a table with two columns: anormalized code column and a class title column. The normalized codecolumn comprises a unique code that is a retrieval key for locating theclass title as shown in FIG. 7. Preferably, this table also includes thecolumns shown in tbIUSPCSchedule in FIG. 8 a, in other words, anindentity column ‘classid’, a level column ‘level’ which contains thehierarchy or indent level of the class, and a CDISP column whichcontains a string in a format commonly used in public records for thatclass. (FIG. 8 a shows the first few rows of a schedule table for theU.S. Patent Classification System.) It is important that the table besortable on the classid column so as to reproduce the ordering of theU.S. Patent Classification Schedule at least for subclasses withinsingle classes.

Preferably, the database also contains a table contain the directhierarchical lineage of each class under the top level such as shown intbIUSPCHierarchy in FIG. 8 b. In this abbreviated table for the U.S.Patent Classification System, the classid and ancestorid column entriesreference the classid column in tbIUSPCSchedule.

Preparation of Classification System Database

The classification system database can be prepared from an electroniccopy of the classification system or by Internet download when availableon the Internet. Several programming approaches are available to thoseknowledgeable in the field and source code is included in theembodiments below.

Document Server Document Store

The document store holds the documents that are to be provided to searchengines and to web clients. While the store can comprise staticdocuments in a file system, it preferablly comprises a base collectionof documents in a file system or database that are dynamically mergedwith classification data when fed to search engines and web clients.

A static document collection according to this invention comprisesdocuments that contain content from the starting document collectiontogether with classification information from the classificationsystem's schedule and/or definitions. The static documents arepreferably in HTML format, but may also be in any format that can beprocessed by search engines such as pdf, hdml, xml, cfm, doc, xis, ppt,rtf, wks, lwp, wri, or swf.

The information from the classification system's schedule and/ordefinitions may be whole class or subclass titles, whole class orsubclass definitions, or portions of either, for example, selectedkeywords extracted from titles and/or definitions.

The information from the classification system's schedule and/ordefinitions may be in the same language as the containing document. Itcan also be in a second language. For example, an English patent recordderived from a USPTO starting document collection may be merged with aJapanese translation of the applied class code titles. This provides amechanism by which the documents can be searched in the second language.

If the classification system is hierarchical, it is preferable to insertthe titles and/or definitions of the hierarchically directly superiorclassifications of a starting document's classifications into thecontaining document.

Preparation of Document Server Document Store

While a static document store according to this invention can beprepared by manually merging classification titles and/or definitionsinto a classified document, it is preferable to automate this process.Examples of manually prepared documents are shown in FIGS. 5 and 6.

The automatic preparation of a static document store according to thisinvention is preferably an extension of a preparation of a dynamicdocument store according to this invention so the preparation of adynamic document store is described first.

Document Server Web Application

According to this invention, documents from the document store are madeavailable to search engines and web clients by means of a server webapplication which communicates documents from the document store to asearch engine client or web client in response to a request by theclient. This communication is preferably performed according to the HTTPprotocol, but can also be according to other protocols, includingwithout limitation, File Transfer Protocol (FTP), Simple Mail TransportProtocol (SMTP) and Network News Transfer Protocol (NNTP).

Server web applications that can be used for this invention include,without limitation, Apache specific servers such as AbaSioux, Apache,Apache-(PZ)-1.3.31, Apache-1.3.27, Apache-ADTI,Apache-AdvancedExtranetServer, Apache-Coyote, Apache-NeoNova,Apache-NeoWebScript, Apache-SSL, Apache1.3.29, DataClub-Apache,Fjapache, Gonzolix-Apache, HP-UX_Apache-based_Web_Server, Rapidsite,Red, Server_Apache, Stronghold, and SudApache_Microsoft NT specificservers such as Commerce-Builder, Microsoft-IIS,Microsoft-Internet-Information-Server, Purveyor, WebSite, andWebSitePro; Roxen specific servers such as Roxen, Roxen Challenger,Roxen Webserver, and Spinner; and Macintosh specific servers such as4D_WebSTAR_S, 4D_WebStar_D, AppleLISA, AppleShareIP, AppleWSE, CL-HTTP,HomeDoor, Interaction, MACOS_Personal_Websharing, MacHTTP, NetPresenz,QuidProQuo, WebSTAR, WebSTAR4, WebStar, WebStarV, and Web_Server_(—)4D.

While this invention can be practiced by serving static HTML documentsfrom a simple web application, it is preferably practiced with a webapplication that is capable of serving dynamic documents. Dynamicdocuments (or “server pages”) comprise dynamic content. Dynamic contentis, for example, in the case of the World Wide Web, web page contentthat includes the usual static content such as display text and markuptags, and, in addition, executable program content. Executable programcontent includes, for example, Java, VBScript, CGI gateway scripting,PHP script, and Perl code. The kind of executable program content foundin any particular dynamic server page depends on the kind of dynamicserver page engine that is intended to render the executable programcontent. For example, Java is typically used in Java Server Pages(“JSPs”) for Java Server Page engines (sometime referred to in thisdisclosure as “JSP engines”); VBScript is used in Active Server Pages(“ASPs”) for Microsoft Active Server Page engines (sometime referred toin this disclosure as “ASP engines”); Visual Basic and C# are used inMicrosoft ASP.NET server web applications, and PHP script, a languagebased on C, C++, Perl, and Java, is used in PHP pages for PHP: HypertextPreprocessor engines.

Documents Produced by Server Web Application

The documents produced by the server web application and transmitted tosearch engines and/or clients can be in any of several file formats thatcan be transmitted over a network and read by search engines and webclients. These formats include, without limitation, HTML, XML, MSWord,MSExcel, RTF and PDF.

Those skilled in the art will appreciate that many modifications can bemade to the above system and methods without departing from the scope ofthe present invention.

PREFERRED EMBODIMENT

Appendix 1 presents source code and other documentation, on CD-ROM, thathas been written in the course of development of a prototype developedaccording to the embodiments.

This embodiment discloses the merging of a classified patent record andsubclass titles into a dynamic XML document that is inserted into awebsite that is made accessible to a web spider or crawler so that itcan be indexed by a web search engine.

The hardware environment is a Dell PowerEdge 1650 server equipped withtwo Model 80530 Intel 1.4 GHz processors, 1 GB of physical memory and136 GB of hard disk in a RAID 10 configuration. The operating systems isMicrosoft Windows 2000 Server containing Microsoft Internet InformationServices (IIS) Version 5. A website is created according to IISdocumentation and configured to allow anonymous access. The server isconnected through a LAN network to a CISCO 2621XM router which isconnected to the Internet. In addition, Microsoft SQL Server Version 7.0is installed and the Microsoft NET Framework is installed on thewebsite.

Data Store for Classification Data. A database is created according tothe SQL Server 7.0 documentation. Two tables, USPCSchedule andUSPCHierarchy, are created in this database using the SQL scriptdisclosed in the supplemental file USPCScheduleAndHierarchyTables.sql.

The U.S. Patent Classification schedule is downloaded into the twotables using a COM component executed from an Microsoft Excelspreadsheet using a Visual Basic macro. Source code for the macro (inVisual Basic), an SQL stored procedure (in Transact-SQL) used to insertschedule data into table USPCSchedule, and for the COM component (inC++) is listed in the supplemental file PCDownloadCode.txt.

The Document Store is produced from the Weekly Patent Bibliographic RawData downloaded from the U.S. Patent and Trademark Office(http://www.uspto.gov/web/menu/patdata.html) in Grant Red Book V2.5(xml) format. The process is shown in FIG. 9. Except where noted below,this application is developed in Microsoft Visual Studio NET 2003 as anATL executable. A stream is opened from the downloaded and unzipped rawdata file. An XML record is read from the stream (Step P101). Thisrecord is transformed using an XSL stylesheet (Step P102). In Step P103,the class titles corresponding to the U.S. Classification codes listedin the record are inserted into the record. The resulting record issaved to document store 131 in Step P104.

Step 101 is necessary because the raw data file is a concatentatedstream of XML records, but itself is not XML-compliant. (There is nodocument element enclosing the entire content.) XML records are readone-by-one by performing a string search (wcsstr) for the string “<?xml”that starts the subsequent XML record and copying the found record intoa buffer.

In Step 102, the record in the buffer is loaded into an XML DOM objectand transformed using the XSL stylesheet listed in the attached computerprogram listing StepP102.txt. This transformation produces two elements‘usco’ and ‘uscx’ that contains an attribute ‘pccode’. The value of thisattribute is a retrieval key for the subclass that is in the same formatas corresponding column ‘pccode’ in the tblUSPCSchedule created above.The resulting XML document is saved to NAS 131 with the DOM's savemethod (P104) with the following C++ code.

-   -   hr=m_spDOM−>save(_variant_t(path));

The path in the above code is computed from the document id number usingthe following code CComBSTR bstrdocid;bstrdocid.Empty( ); hr =get_docid( &bstrdocid ) wstring docid((wchar_t*)bstrdocid); wchar_tpath[MAX_PATH]; memset(path, ‘\0’, sizeof(path) ); wsprintf( path,L“%s\\%s\\%s0000\\%s00\\% s.xml”,/*root*/ websiteroot ,docid.substr(0,4).c_str( ), docid.substr(0,7).c_str(),docid.substr(0,9).c_str( ), docid.c_str( ) );where ‘websiteroot’ is the path to the root directory of the documentstore and ‘get_docid’ is a method that reads the value of the element<pdoc/sdbi/iden/nmbr/> in the XML document produced in Step P102.

Web Site Application and Indexing by Search Engine. Seven files areprepared and placed in the root directory: FolderBrowse.aspx,FolderBrowse.aspx.cs, FolderBrowse.aspx.resx, ShowAbstract.aspx,ShowAbstract.aspx.cs, ShowAbstract.aspx.resx and Global.asax.

FolderBrowse.aspx together with FolderBrowse.aspx.cs andFolderBrowse.aspx.resx (attached as FolderBrowse.aspx.txtFolderBrowse.aspx.cs.txt and FolderBrowse.aspx.resx.txt, respectively)present the contents of the document store to clients and search enginesin a browsable structure.

ShowAbstract.aspx, ShowAbstract.aspx.cs, and ShowAbstract.aspx.resx(attached as ShowAbstract.aspx.txt, ShowAbstract.aspx.cs.txt, andShowAbstract.aspx.resx.txt, respectively) retrieve XML records from thedocument store, inserts classification titles from the database,converts the result to HTML, and returns the resulting HTML to theclient. The subclass titles corresponding to the pccode attributes areretrieved from the database and used to create an element tree ‘usctree’as a child of the element uscs that contains the U.S. Classificationinformation. This routine operates on the XML document m_spDOM. Sourcecode for this step is listed in the attached computer program listingStepP103.txt. This step access the database using the SQL storedprocedure spGetSubclassHierarchy listed in the attached computer programlisting StepP103 sql.txt. The steps shown in FIG. 10 are performed foreach classification. The subclass retrieval key pccode is retrieved fromm_spDOM and the root element to which usctree is to be appended isinitialized at <uscs/> (P103.1 and P103.2). For each row retrieved fromspGetSubclassHierarchy (P103.3), the current append target is checkedfor an usctree element with the same classid attribute (P103.5). If suchelement has already been appended, the append target is set to thatelement (P103.8) and the next row processed. If such element has not yetbeen added, a new usctree element is created and appended so as topreserve the order of classids in the append target (P103.6) and theappend target set to the new element (P103.7). The resulting XMLdocument is converted to HTML with the attached XML stylesheetcxptohtml.xsl.txt.

Global.asax (attached as Global.asax.txt) contains a routine to convert“search engine friendly” links, i.e., URLs that do not have a ‘?’character, into URLs with query strings that are compatible withFolderBrowse.aspx and ShowAbstract.aspx. So that URLs with an htmlextension will general calls to the Application_BeginRequest function inglobal.asax, the configuration of thw web application is set to map suchURLs to aspnet_isapi.dll.

The attached XML stylesheet cxptohtml.xsl.txt is placed (without the txtextension) in the root directory of the web site and the URL of the rootdirectory of the website is submitted to the Google search engine(http://www.google.com/addurl.html).

Retrieval by Google search. After the documents have been indexed byGoogle, a process that may take several weeks, terms from the U.S.Classification system are entered into the Google search form atwww.google.com and the search submitted.

EMBODIMENT 1

This embodiment discloses a search engine-indexable website containing astatic document consisting of a classified U.S. patent record whichcontains a subclass title.

The hardware environment is a Dell PowerEdge 1650 server equipped withtwo Model 80530 Intel 1.4 GHz processors, 1 GB of physical memory and136 GB of hard disk in a RAID 10 configuration. The operating systems isMicrosoft Windows 2000 Server containing Microsoft Internet InformationServices (IIS) Version 5. A website is created according to IISdocumentation and configured to allow anonymous access and browsing. Theserver is connected through a LAN network to a CISCO 2621XM router whichis connected to the Internet.

Using Microsoft Internet Explorer Version 6.0, the record for a U.S.Patent Application is accessed from the United States Patent OfficeWebsite. The source of this record is viewed and the bibliographyportions, including the U.S. Current Classification field are copied tothe body of an HTML document that has been prepared using MicrosoftNotepad. The title of the subclass specified in the currentclassification field is located from the USPTO's Patent ClassificationHome Page (http://www.uspto.gov/go/classification) and copied into atable row that has been prepared below the Current Classification fieldof the HTML document. A document resulting from this manipulation iscontained as file 20040177015.htm.txt on the supplemental compact disc.This document is saved into the root directory website. The URL of theroot directory of the website is submitted to the Google search engine(http://www.google.com/addurl.html).

EMBODIMENT 2

This embodiment discloses a search engine-indexable website containing astatic document consisting of a classified U.S. patent record whichcontains a subclass title and the titles of its ancestor subclasses.

The hardware and software environment of Embodiment 1 is used. UsingMicrosoft Internet Explorer Version 6.0, the record for a U.S. PatentApplication is accessed from the United States Patent Office Website.The source of this record is viewed and the bibliography portions,including the U.S. Current Classification field are copied to the bodyof an HTML document that has been prepared using Microsoft Notepad. Thetitle of the subclass specified in the current classification field islocated from the USPTO's Patent Classification Home Page(http://www.uspto.gov/go/classification) and copied, together with itsancestor subclass and class titles, into a table row that has beenprepared below the Current Classification field of the HTML document. Adocument resulting from this manipulation is contained as file20040167928.htm.txt on the supplemental compact disc. This document issaved into the root directory website. The URL of the root directory ofthe website is submitted to the Google search engine(http://www.google.com/addurl.html).

EMBODIMENT 3

This embodiment discloses a search engine-indexable website containing astatic document consisting of a classified U.S. patent record whichcontains, in a second language, a subclass title and the titles of itsancestor subclasses.

The hardware and software environment of Embodiment 1 is used. UsingMicrosoft Internet Explorer Version 6.0, the record for a U.S. PatentApplication is accessed from the United States Patent Office Website.The source of this record is viewed and the bibliography portions,including the U.S. Current Classification field are copied to the bodyof an HTML document that has been prepared using Microsoft WordPad(Japanese Version). The title of the subclass specified in the currentclassification field is located from the USPTO's Patent ClassificationHome Page (http://www.uspto.gov/go/classification), translated intoJapanese, and inserted, together with its ancestor subclass and classtitles, into a table row that has been prepared below the CurrentClassification field of the HTML document. This document is saved intothe root directory website. The URL of the root directory of the websiteis submitted to the Google search engine(http://www.google.com/addurl.html).

EMBODIMENT 4

This embodiment discloses the merging of a classified patent record andsubclass titles into a static XML document that is inserted into awebsite that is made accessible to a web spider or crawler so that itcan be indexed by a web search engine.

The hardware and software environment of Embodiment 1 is used. Inaddition, Microsoft SQL Server Version 7.0 is installed and theMicrosoft NET Framework is installed on the website.

Data Store for Classification Data. A database is created according tothe SQL Server 7.0 documentation. Two tables, USPCSchedule andUSPCHierarchy, are created in this database using the SQL scriptdisclosed in the supplemental file USPCScheduleAndHierarchyTables.sql.

The U.S. Patent Classification schedule is downloaded into the twotables using a COM component executed from an Microsoft Excelspreadsheet using a Visual Basic macro. Source code for the macro (inVisual Basic), an SQL stored procedure (in Transact-SQL) used to insertschedule data into table USPCSchedule, and for the COM component (inC++) is listed in the supplemental file PCDownloadCode.txt.

The Document Store is produced from the Weekly Patent Bibliographic RawData downloaded from the U.S. Patent and Trademark Office(http://www.uspto.gov/web/menu/patdata.html) in Grant Red Book V2.5(xml) format. The process is shown in FIG. 9. Except where noted below,this application is developed in Microsoft Visual Studio NET 2003 as anATL executable. A stream is opened from the downloaded and unzipped rawdata file. An XML record is read from the stream (Step P101). Thisrecord is transformed using an XSL stylesheet (Step P102). In Step P103,the class titles corresponding to the U.S. Classification codes listedin the record are inserted into the record. The resulting record issaved to document store 131 in Step P104.

Step 101 is necessary because the raw data file is a concatentatedstream of XML records, but itself is not XML-compliant. (There is nodocument element enclosing the entire content.) XML records are readone-by-one by performing a string search (wcsstr) for the string “<?xml”that starts the subsequent XML record and copying the found record intoa buffer.

In Step 102, the record in the buffer is loaded into an XML DOM objectand transformed using the XSL stylesheet listed in the attached computerprogram listing StepP102.txt. This transformation produces two elements‘usco’ and ‘uscx’ that contains an attribute ‘pccode’. The value of thisattribute is a retrieval key for the subclass that is in the same formatas corresponding column ‘pccode’ in the tblUSPCSchedule created above.Note that this stylesheet produces an xml-stylesheet in the output.

In Step 103, the subclass titles corresponding to the pccode attributesare retrieved from the database and used to create an element tree‘usctree’ as a child of the element uscs that contains the U.S.Classification information. Source code for this step is listed in theattached computer program listing StepP103.txt. This routine operates onthe XML DOM object (m_spDOM) that was prepared in Step 102. This stepaccess the database using the SQL stored procedurespGetSubclassHierarchy listed in the attached computer program listingStepP103 sql.txt. The steps shown in FIG. 10 are performed for eachclassification. The subclass retrieval key pccode is retrieved fromm_spDOM and the root element to which usctree is to be appended isinitialized at <uscs/> (P103.1 and P103.2). For each row retrieved fromspGetSubclassHierarchy (P103.3), the current append target is checkedfor an usctree element with the same classid attribute (P103.5). If suchelement has already been appended, the append target is set to thatelement (P103.8) and the next row processed. If such element has not yetbeen added, a new usctree element is created and appended so as topreserve the order of classids in the append target (P103.6) and theappend target set to the new element (P103.7). The resulting XMLdocument is saved to NAS 131 with the DOM's save method (P104) with thefollowing C++ code.

-   -   hr=m_spDOM−>save(_variant_t(path));

The path in the above code is computed from the document id number usingthe following code CComBSTR bstrdocid;bstrdocid.Empty( ); hr =get_docid( &bstrdocid ); wstring docid((wchar_t*)bstrdocid); wchar_tpath[MAX_PATH]; memset(path, ‘\0’, sizeof(path) ); wsprintf( path,L“%s\\%s\\%s0000\\%s00\\% s.xml”,/*root*/ websiteroot ,docid.substr(0,4).c_str( ), docid.substr(0,7).c_str(),docid.substr(0,9).c_str( ), docid.c_str( ) );where ‘websiteroot’ is the path to the root directory of the web siteand ‘get_docid’ is a method that reads the value of the element<pdoc/sdbi/iden/nmbr/> in the XML document produced in Step P103.

Web Site Application and Indexing by Search Engine. The attached XMLstyle sheet cxptohtml.xsl is placed in the root directory of the website and the URL of the root directory of the website is submitted tothe Google search engine (http://www.google.com/addurl.html).

Retrieval by Google search. After the documents have been indexed byGoogle, a process that may take several weeks, terms from the U.S.Classification system are entered into the Google search form atwww.google.com and the search submitted.

EMBODIMENT 5

This embodiment discloses the merging of a classified U.S. patent recordand subclass titles into a static HTML document that contains embeddedobject links to the class definition and is inserted into an indexedwebsite.

Embodiment 4 is followed with the following exceptions:

Step P104 is replaced with Step P104 html as shown in FIG. 11. In StepP104 html, the XML document that is produced by Step 103 is transformedto HTML using the XML stylesheet cxptohtml.xsl.txt (attached) beforesaving to the document store. The source code fragment (with errorhandling code omitted) is attached in file Step104 html.txt. Theresulting HTML document is saved to NAS 131. The path is computed fromthe document id number using the following code CComBSTRbstrdocid;bstrdocid.Empty( ); hr = get_docid( &bstrdocid ); wstringdocid((wchar_t*)bstrdocid); wchar_t path[MAX_PATH]; memset(path, ‘\0’,sizeof(path) ); wsprintf( path, L“%s\\%s\\%s0000\\%s00\\%s.htm”,/*root*/ websiteroot , docid.substr(0,4).c_str( ),docid.substr(0,7).c_str( ),docid.substr(0,9).c_str( ), docid.c_str( ) );where ‘websiteroot’ is the path to the root directory of the web siteand ‘get_docid’ is a method that reads the value of the element<pdoc/sdbi/iden/nmbr/> in the XML document produced in Step P103.

XML stylesheet cxptohtml.xsl is omitted from the root directory of theweb site.

INDUSTRIAL APPLICABILITY

This invention is applicable to the facile indexing and retrieval ofclassified documents over a network.

1. A system for the indexing and retrieval of classified documents, thesystem comprising, at least one server computer, at least one documentcollection, said document collection comprising at least onedocument(s), said document(s) having been classified according to apredefined classification scheme, said predefined classification schemecomprising classification codes, said classification codes comprisingtitle(s) and definition(s); at least one server web application; and atleast one search engine system; wherein said server computer isconnected to said search engine, and wherein said server web applicationcommunicates document(s) from said document collection to said searchengine; wherein said document(s) are augmented with at least one ofclassification code title(s) or classification code definition(s). 2.The system for the indexing and retrieval of classified documents ofclaim 1, wherein the document(s) is in a format, said format selectedfrom the group consisting of: HTML, XML, PDF, and MSWord.
 3. The systemfor the indexing and retrieval of classified documents of claim 1,wherein the document(s) is in a first language, and wherein at least oneof the classification code title(s) or the classification codedefinition(s) is in a second language.
 4. The system for the indexingand retrieval of classified documents of claim 1, wherein the systemfurther comprises: at least one client computer, wherein said clientcomputer is connected to said server computer.
 5. A system for theindexing and retrieval of classified documents, the system comprising,at least one server computer, at least one document collection, saiddocument collection comprising at least one document(s), saiddocument(s) having been classified according to a predefinedclassification scheme, said predefined classification scheme comprisingclassification codes, said classification codes comprising title(s) anddefinition(s), said document (s) further comprising at least oneretrieval key, wherein said retrieval key corresponds with at least oneof said classification code title(s) or classification code definition(s); at least one server web application; and at least one search enginesystem, wherein said server computer is connected to said search engine,and wherein said server web application communicates document(s) fromsaid document collection to said search engine; and a means fordynamically inserting said term into said document(s) to create a taggeddocument, wherein said insertion is in response to a request from saidsearch engine, and wherein said tagged document is communicated to saidsearch engine.
 6. The system for the indexing and retrieval ofclassified documents of claim 5, wherein the document(s) is in a format,said format selected from the group consisting of: HTML, XML, PDF, andMSWord.
 7. The system for the indexing and retrieval of classifieddocuments of claim 5, wherein the document(s) is in a first language,and wherein the term is in a second language.
 8. The system for theindexing and retrieval of classified documents of claim 5, wherein thesystem further comprises: at least one client computer, wherein saidclient computer is connected to said server computer.
 9. The system forthe indexing and retrieval of classified documents of claim 1, whereinthe system further comprises: at least one client computer, wherein saidclient computer is connected to said server computer, and wherein saidtagged document is communicated to said client computer.
 10. Acomputerized method for the indexing and retrieval of classifieddocuments comprising: retrieving a document(s) from a documentcollection, said document(s) having been classified according to apredefined classification scheme, said predefined classification schemecomprising classification codes, said classification codes comprisingtitle(s) and definition(s), wherein said retrieving is in response to arequest from a search engine, and wherein said document(s) are augmentedwith at least one of classification code title(s) or classification codedefinition(s); and transmitting said document(s) to said search engine.11. The computerized method for the indexing and retrieval of classifieddocuments of claim 10, wherein the document(s) is in a format, saidformat selected from the group consisting of: HTML, XML, PDF, andMSWord.
 12. The computerized method for the indexing and retrieval ofclassified documents of claim 10, wherein the document(s) is in a firstlanguage, and wherein at least one of the classification code title(s)or the classification code definition(s) is in a second language. 13.The computerized method for the indexing and retrieval of classifieddocuments of claim 10, wherein the document collection contains at leastone patent document.
 14. The computerized method for the indexing andretrieval of classified documents of claim 10, wherein the systemfurther comprises: at least one client computer, wherein said clientcomputer is connected to said server computer.
 15. A computerized methodfor the indexing and retrieval of classified documents comprising:retrieving a document(s) from a document collection, said document(s)having been classified according to a predefined classification scheme,said predefined classification scheme comprising classification codes,said classification codes comprising title(s) and definition(s), saiddocument(s) further comprising at least one retrieval key, wherein saidretrieval key corresponds with at least one of said classification codetitle(s) or said classification code definition(s), wherein saidretrieving is in response to a request from a search engine, retrievingfrom a database at least one keyword derived from at least one of saidclassification code title(s) or classification code definition(s);inserting said term into said document(s) to create a tagged document;and transmitting said tagged document to said search engine.
 16. Thecomputerized method for the indexing and retrieval of classifieddocuments of claim 15, wherein the document(s) is in a format, saidformat selected from the group consisting of: HTML, XML, PDF, andMSWord.
 17. The computerized method for the indexing and retrieval ofclassified documents of claim 15, wherein the document(s) is in a firstlanguage, and wherein the term is in a second language.
 18. Thecomputerized method for the indexing and retrieval of classifieddocuments of claim 15, wherein the document collection contains at leastone patent document.
 19. The computerized method for the indexing andretrieval of classified documents of claim 15, wherein the systemfurther comprises: at least one client computer, wherein said clientcomputer is connected to said server computer.
 20. A computerized methodfor the retrieval of classified documents comprising: initiating aconnection between a client software application in a client computerand a server computer; and causing at least one request by said clientsoftware application in said client computer, wherein said requestinitiates a method comprising: retrieving a document from a documentcollection, said document collection comprising at least onedocument(s), said document(s) having been classified according to apredefined classification scheme, said predefined classification schemecomprising classification codes, said classification codes comprisingtitle(s) and definition(s), said document(s) further comprising at leastone retrieval code, wherein said retrieval code corresponds with atleast one of said classification code title(s) or classification codedefinition(s); retrieving from a database at least one keyword derivedfrom at least one of said classification code title(s) or classificationcode definition(s); inserting said keyword into said document(s) tocreate a tagged document; and transmitting said tagged document to saidsearch engine.
 21. The computerized method for the indexing andretrieval of classified documents of claim 20, wherein the document(s)is in a format, said format selected from the group consisting of: HTML,XML, PDF, and MSWord.
 22. The computerized method for the indexing andretrieval of classified documents of claim 20, wherein the document(s)is in a first language, and wherein the keyword is in a second language.23. The computerized method for the indexing and retrieval of classifieddocuments of claim 20, wherein the document collection contains at leastone patent document.
 24. The computerized method for the indexing andretrieval of classified documents of claim 20, wherein the systemfurther comprises: at least one client computer, wherein said clientcomputer is connected to said server computer.
 25. The computerizedmethod for the indexing and retrieval of classified documents of claim20, wherein the client software application is a web browser.
 26. Thecomputerized method for the indexing and retrieval of classifieddocuments of claim 20, wherein the client software application is a webgrabber.
 27. The computerized method for the indexing and retrieval ofclassified documents of claim 20, wherein the client softwareapplication is a web extractor.
 28. The computerized method for theindexing and retrieval of classified documents of claim 20, wherein theclient software application is a web content repackager.